Overview

Brought to you by YData

Dataset statistics

Number of variables	29
Number of observations	34603
Missing cells	13118
Missing cells (%)	1.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	7.7 MiB
Average record size in memory	232.0 B

Variable types

Text	10
Categorical	9
Numeric	8
DateTime	2

Alerts

`db_code_commune` is highly overall correlated with `db_code_dpt` and 1 other fields	High correlation
`db_code_dpt` is highly overall correlated with `db_code_commune` and 1 other fields	High correlation
`iso_pays` is highly overall correlated with `db_code_commune` and 1 other fields	High correlation
`db_continent` is highly imbalanced (92.4%)	Imbalance
`dd_continent` is highly imbalanced (93.1%)	Imbalance
`iso_date` is highly imbalanced (76.0%)	Imbalance
`db_lib_commune` has 481 (1.4%) missing values	Missing
`db_dept_isocode_3166` has 5472 (15.8%) missing values	Missing
`dd_lib_commune` has 691 (2.0%) missing values	Missing
`dd_dept_isocode_3166` has 6334 (18.3%) missing values	Missing
`age` has 12083 (34.9%) zeros	Zeros
`distance` has 12051 (34.8%) zeros	Zeros

Reproduction

Analysis started	2025-05-31 10:10:35.573687
Analysis finished	2025-05-31 10:10:53.837471
Duration	18.26 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

nom
Text

Distinct	22640
Distinct (%)	65.4%
Missing	0
Missing (%)	0.0%
Memory size	270.5 KiB

Length

Max length	38
Median length	29
Mean length	7.0940959
Min length	2

Characters and Unicode

Total characters	245477
Distinct characters	29
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	18048 ?
Unique (%)	52.2%

Sample

1st row	LETERME
2nd row	DEROUT
3rd row	GRAS Y PLASSARD
4th row	LENOIR
5th row	LESZCZUK

Value	Count	Frequency (%)
le	364	1.0%
de	192	0.5%
martin	102	0.3%
simon	54	0.2%
robert	53	0.1%
durand	50	0.1%
bernard	50	0.1%
thomas	49	0.1%
richard	48	0.1%
laurent	48	0.1%
Other values (22591)	34807	97.2%

Most occurring characters

Value	Count	Frequency (%)
E	29772	12.1%
A	24314	9.9%
R	21706	8.8%
I	17138	7.0%
O	16412	6.7%
L	15965	6.5%
N	15908	6.5%
U	12845	5.2%
T	11917	4.9%
S	10886	4.4%
Other values (19)	68614	28.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	245477	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	29772	12.1%
A	24314	9.9%
R	21706	8.8%
I	17138	7.0%
O	16412	6.7%
L	15965	6.5%
N	15908	6.5%
U	12845	5.2%
T	11917	4.9%
S	10886	4.4%
Other values (19)	68614	28.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	245477	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	29772	12.1%
A	24314	9.9%
R	21706	8.8%
I	17138	7.0%
O	16412	6.7%
L	15965	6.5%
N	15908	6.5%
U	12845	5.2%
T	11917	4.9%
S	10886	4.4%
Other values (19)	68614	28.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	245477	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	29772	12.1%
A	24314	9.9%
R	21706	8.8%
I	17138	7.0%
O	16412	6.7%
L	15965	6.5%
N	15908	6.5%
U	12845	5.2%
T	11917	4.9%
S	10886	4.4%
Other values (19)	68614	28.0%

prenom
Text

Distinct	20813
Distinct (%)	60.4%
Missing	138
Missing (%)	0.4%
Memory size	270.5 KiB

Length

Max length	50
Median length	40
Mean length	13.850689
Min length	1

Characters and Unicode

Total characters	477364
Distinct characters	30
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	18030 ?
Unique (%)	52.3%

Sample

1st row	PATRICE,EUGENE,OMER
2nd row	JEAN,DANIEL
3rd row	BORIS,GUY
4th row	VALERIE,PAULE
5th row	MARIE-AGNES

Value	Count	Frequency (%)
jean	165	0.5%
david	148	0.4%
marie	143	0.4%
joseph	130	0.4%
michel	124	0.4%
nathalie	118	0.3%
alain	108	0.3%
christophe	104	0.3%
philippe	102	0.3%
laurent	100	0.3%
Other values (20805)	33255	96.4%

Most occurring characters

Value	Count	Frequency (%)
E	75659	15.8%
A	48033	10.1%
I	42253	8.9%
R	39327	8.2%
N	36251	7.6%
,	34079	7.1%
L	28244	5.9%
C	18815	3.9%
S	17724	3.7%
O	16528	3.5%
Other values (20)	120451	25.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	477364	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	75659	15.8%
A	48033	10.1%
I	42253	8.9%
R	39327	8.2%
N	36251	7.6%
,	34079	7.1%
L	28244	5.9%
C	18815	3.9%
S	17724	3.7%
O	16528	3.5%
Other values (20)	120451	25.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	477364	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	75659	15.8%
A	48033	10.1%
I	42253	8.9%
R	39327	8.2%
N	36251	7.6%
,	34079	7.1%
L	28244	5.9%
C	18815	3.9%
S	17724	3.7%
O	16528	3.5%
Other values (20)	120451	25.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	477364	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	75659	15.8%
A	48033	10.1%
I	42253	8.9%
R	39327	8.2%
N	36251	7.6%
,	34079	7.1%
L	28244	5.9%
C	18815	3.9%
S	17724	3.7%
O	16528	3.5%
Other values (20)	120451	25.2%

sexe
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	270.5 KiB

M	21164
F	13439

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	34603
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	M
2nd row	M
3rd row	M
4th row	F
5th row	F

Common Values

Value	Count	Frequency (%)
M	21164	61.2%
F	13439	38.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
m	21164	61.2%
f	13439	38.8%

Most occurring characters

Value	Count	Frequency (%)
M	21164	61.2%
F	13439	38.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	34603	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
M	21164	61.2%
F	13439	38.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	34603	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
M	21164	61.2%
F	13439	38.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	34603	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
M	21164	61.2%
F	13439	38.8%

age
Real number (ℝ)

Zeros

Distinct	97
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18.350779

Minimum	0
Maximum	97
Zeros	12083
Zeros (%)	34.9%
Negative	0
Negative (%)	0.0%
Memory size	270.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	12
Q3	23
95-th percentile	70
Maximum	97
Range	97
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	22.508483
Coefficient of variation (CV)	1.2265683
Kurtosis	0.5701977
Mean	18.350779
Median Absolute Deviation (MAD)	12
Skewness	1.2670973
Sum	634992
Variance	506.63182
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	12083	34.9%
1	1176	3.4%
21	1030	3.0%
19	1015	2.9%
22	988	2.9%
18	984	2.8%
20	970	2.8%
23	923	2.7%
17	886	2.6%
16	691	2.0%
Other values (87)	13857	40.0%

Value	Count	Frequency (%)
0	12083	34.9%
1	1176	3.4%
2	664	1.9%
3	531	1.5%
4	464	1.3%
5	404	1.2%
6	374	1.1%
7	336	1.0%
8	302	0.9%
9	261	0.8%

Value	Count	Frequency (%)
97	1	< 0.1%
96	1	< 0.1%
94	4	< 0.1%
93	2	< 0.1%
92	1	< 0.1%
91	5	< 0.1%
90	9	< 0.1%
89	8	< 0.1%
88	12	< 0.1%
87	6	< 0.1%

long_nom
Real number (ℝ)

Distinct	28
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.0940959

Minimum	2
Maximum	38
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	270.5 KiB

Quantile statistics

Minimum	2
5-th percentile	4
Q1	6
median	7
Q3	8
95-th percentile	11
Maximum	38
Range	36
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.1466899
Coefficient of variation (CV)	0.30260233
Kurtosis	9.6523279
Mean	7.0940959
Median Absolute Deviation (MAD)	1
Skewness	1.8880713
Sum	245477
Variance	4.6082777
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
7	7690	22.2%
6	7617	22.0%
8	5382	15.6%
5	5074	14.7%
9	3320	9.6%
4	1773	5.1%
10	1627	4.7%
11	794	2.3%
12	339	1.0%
3	300	0.9%
Other values (18)	687	2.0%

Value	Count	Frequency (%)
2	9	< 0.1%
3	300	0.9%
4	1773	5.1%
5	5074	14.7%
6	7617	22.0%
7	7690	22.2%
8	5382	15.6%
9	3320	9.6%
10	1627	4.7%
11	794	2.3%

Value	Count	Frequency (%)
38	1	< 0.1%
30	1	< 0.1%
29	3	< 0.1%
27	4	< 0.1%
26	4	< 0.1%
24	5	< 0.1%
23	4	< 0.1%
22	14	< 0.1%
21	12	< 0.1%
20	31	0.1%

nbre_prenoms
Real number (ℝ)

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.9848568

Minimum	1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	270.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	3
Maximum	7
Range	6
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	0.89894686
Coefficient of variation (CV)	0.45290263
Kurtosis	-0.6588577
Mean	1.9848568
Median Absolute Deviation (MAD)	1
Skewness	0.43765442
Sum	68682
Variance	0.80810546
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	12676	36.6%
2	11225	32.4%
3	9359	27.0%
4	1247	3.6%
5	88	0.3%
6	5	< 0.1%
7	3	< 0.1%

Value	Count	Frequency (%)
1	12676	36.6%
2	11225	32.4%
3	9359	27.0%
4	1247	3.6%
5	88	0.3%
6	5	< 0.1%
7	3	< 0.1%

Value	Count	Frequency (%)
7	3	< 0.1%
6	5	< 0.1%
5	88	0.3%
4	1247	3.6%
3	9359	27.0%
2	11225	32.4%
1	12676	36.6%

db_date
Date

Distinct	13985
Distinct (%)	40.4%
Missing	0
Missing (%)	0.0%
Memory size	270.5 KiB

Minimum	1848-07-15 00:00:00
Maximum	1970-12-30 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

db_lib_jour
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	270.5 KiB

Lundi	5104
Mardi	4999
Vendredi	4985
Jeudi	4931
Samedi	4928
Other values (2)	9656

Length

Max length	8
Median length	6
Mean length	6.4117562
Min length	5

Characters and Unicode

Total characters	221866
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Lundi
2nd row	Dimanche
3rd row	Mardi
4th row	Samedi
5th row	Samedi

Common Values

Value	Count	Frequency (%)
Lundi	5104	14.8%
Mardi	4999	14.4%
Vendredi	4985	14.4%
Jeudi	4931	14.3%
Samedi	4928	14.2%
Mercredi	4918	14.2%
Dimanche	4738	13.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
lundi	5104	14.8%
mardi	4999	14.4%
vendredi	4985	14.4%
jeudi	4931	14.3%
samedi	4928	14.2%
mercredi	4918	14.2%
dimanche	4738	13.7%

Most occurring characters

Value	Count	Frequency (%)
d	34850	15.7%
i	34603	15.6%
e	34403	15.5%
r	19820	8.9%
n	14827	6.7%
a	14665	6.6%
u	10035	4.5%
M	9917	4.5%
m	9666	4.4%
c	9656	4.4%
Other values (6)	29424	13.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	221866	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	34850	15.7%
i	34603	15.6%
e	34403	15.5%
r	19820	8.9%
n	14827	6.7%
a	14665	6.6%
u	10035	4.5%
M	9917	4.5%
m	9666	4.4%
c	9656	4.4%
Other values (6)	29424	13.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	221866	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	34850	15.7%
i	34603	15.6%
e	34403	15.5%
r	19820	8.9%
n	14827	6.7%
a	14665	6.6%
u	10035	4.5%
M	9917	4.5%
m	9666	4.4%
c	9656	4.4%
Other values (6)	29424	13.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	221866	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	34850	15.7%
i	34603	15.6%
e	34403	15.5%
r	19820	8.9%
n	14827	6.7%
a	14665	6.6%
u	10035	4.5%
M	9917	4.5%
m	9666	4.4%
c	9656	4.4%
Other values (6)	29424	13.3%

db_week
Real number (ℝ)

Distinct	53
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.909343

Minimum	1
Maximum	53
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	270.5 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	12
median	25
Q3	39
95-th percentile	50
Maximum	53
Range	52
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	15.341462
Coefficient of variation (CV)	0.59212084
Kurtosis	-1.218183
Mean	25.909343
Median Absolute Deviation (MAD)	13
Skewness	0.061281186
Sum	896541
Variance	235.36046
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
40	961	2.8%
1	950	2.7%
52	808	2.3%
9	772	2.2%
2	740	2.1%
10	725	2.1%
20	721	2.1%
13	718	2.1%
7	711	2.1%
6	708	2.0%
Other values (43)	26789	77.4%

Value	Count	Frequency (%)
1	950	2.7%
2	740	2.1%
3	685	2.0%
4	682	2.0%
5	665	1.9%
6	708	2.0%
7	711	2.1%
8	681	2.0%
9	772	2.2%
10	725	2.1%

Value	Count	Frequency (%)
53	181	0.5%
52	808	2.3%
51	623	1.8%
50	638	1.8%
49	642	1.9%
48	637	1.8%
47	574	1.7%
46	589	1.7%
45	590	1.7%
44	570	1.6%

db_code_commune
Real number (ℝ)

High correlation

Distinct	6300
Distinct (%)	18.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	57799.95

Minimum	1004
Maximum	99501
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	270.5 KiB

Quantile statistics

Minimum	1004
5-th percentile	10033
Q1	33128
median	59606
Q3	78586
95-th percentile	99122
Maximum	99501
Range	98497
Interquartile range (IQR)	45458

Descriptive statistics

Standard deviation	28932.605
Coefficient of variation (CV)	0.50056454
Kurtosis	-1.0674234
Mean	57799.95
Median Absolute Deviation (MAD)	23455
Skewness	-0.20408177
Sum	2.0000517 × 10⁹
Variance	8.3709564 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
99122	2057	5.9%
99109	529	1.5%
13055	478	1.4%
99352	406	1.2%
75114	332	1.0%
99123	324	0.9%
44109	307	0.9%
59350	288	0.8%
31555	275	0.8%
33063	232	0.7%
Other values (6290)	29375	84.9%

Value	Count	Frequency (%)
1004	6	< 0.1%
1005	1	< 0.1%
1017	1	< 0.1%
1026	1	< 0.1%
1029	1	< 0.1%
1032	2	< 0.1%
1033	2	< 0.1%
1034	7	< 0.1%
1035	1	< 0.1%
1036	1	< 0.1%

Value	Count	Frequency (%)
99501	2	< 0.1%
99431	3	< 0.1%
99424	3	< 0.1%
99417	4	< 0.1%
99416	4	< 0.1%
99415	1	< 0.1%
99408	1	< 0.1%
99407	1	< 0.1%
99405	4	< 0.1%
99404	12	< 0.1%

db_lib_commune
Text

Missing

Distinct	7862
Distinct (%)	23.0%
Missing	481
Missing (%)	1.4%
Memory size	270.5 KiB

Length

Max length	30
Median length	27
Mean length	9.380898
Min length	2

Characters and Unicode

Total characters	320095
Distinct characters	41
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5258 ?
Unique (%)	15.4%

Sample

1st row	BOITRON
2nd row	BRIE-COMTE-ROBERT
3rd row	BROU-SUR-CHANTEREINE
4th row	BROU-SUR-CHANTEREINE
5th row	CERNEUX

Value	Count	Frequency (%)
paris	1708	4.6%
la	705	1.9%
le	683	1.8%
lyon	517	1.4%
marseille	479	1.3%
varsovie	465	1.2%
nantes	307	0.8%
lille	288	0.8%
saint	281	0.8%
toulouse	275	0.7%
Other values (8027)	31735	84.8%

Most occurring characters

Value	Count	Frequency (%)
E	39520	12.3%
A	30141	9.4%
N	27083	8.5%
R	24298	7.6%
S	23329	7.3%
I	22829	7.1%
L	22082	6.9%
O	19295	6.0%
U	14593	4.6%
T	13607	4.3%
Other values (31)	83318	26.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	320095	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	39520	12.3%
A	30141	9.4%
N	27083	8.5%
R	24298	7.6%
S	23329	7.3%
I	22829	7.1%
L	22082	6.9%
O	19295	6.0%
U	14593	4.6%
T	13607	4.3%
Other values (31)	83318	26.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	320095	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	39520	12.3%
A	30141	9.4%
N	27083	8.5%
R	24298	7.6%
S	23329	7.3%
I	22829	7.1%
L	22082	6.9%
O	19295	6.0%
U	14593	4.6%
T	13607	4.3%
Other values (31)	83318	26.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	320095	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	39520	12.3%
A	30141	9.4%
N	27083	8.5%
R	24298	7.6%
S	23329	7.3%
I	22829	7.1%
L	22082	6.9%
O	19295	6.0%
U	14593	4.6%
T	13607	4.3%
Other values (31)	83318	26.0%

db_code_dpt
Real number (ℝ)

High correlation

Distinct	98
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	57.586452

Minimum	1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	270.5 KiB

Quantile statistics

Minimum	1
5-th percentile	10
Q1	33
median	59
Q3	78
95-th percentile	99
Maximum	99
Range	98
Interquartile range (IQR)	45

Descriptive statistics

Standard deviation	28.937175
Coefficient of variation (CV)	0.5024997
Kurtosis	-1.066841
Mean	57.586452
Median Absolute Deviation (MAD)	23
Skewness	-0.20121855
Sum	1992664
Variance	837.3601
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
99	4718	13.6%
75	2248	6.5%
59	1742	5.0%
62	899	2.6%
19	894	2.6%
69	760	2.2%
13	732	2.1%
57	671	1.9%
76	666	1.9%
44	653	1.9%
Other values (88)	20620	59.6%

Value	Count	Frequency (%)
1	277	0.8%
2	357	1.0%
3	188	0.5%
4	40	0.1%
5	87	0.3%
6	234	0.7%
7	246	0.7%
8	217	0.6%
9	70	0.2%
10	174	0.5%

Value	Count	Frequency (%)
99	4718	13.6%
98	141	0.4%
97	484	1.4%
95	99	0.3%
94	85	0.2%
93	147	0.4%
92	162	0.5%
91	72	0.2%
90	53	0.2%
89	197	0.6%

db_dept_isocode_3166
Text

Missing

Distinct	94
Distinct (%)	0.3%
Missing	5472
Missing (%)	15.8%
Memory size	270.5 KiB

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	145655
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	FR-77
2nd row	FR-77
3rd row	FR-77
4th row	FR-77
5th row	FR-77

Value	Count	Frequency (%)
fr-75	2248	7.7%
fr-59	1742	6.0%
fr-62	899	3.1%
fr-19	894	3.1%
fr-69	760	2.6%
fr-13	732	2.5%
fr-57	671	2.3%
fr-76	666	2.3%
fr-44	653	2.2%
fr-33	610	2.1%
Other values (84)	19256	66.1%

Most occurring characters

Value	Count	Frequency (%)
F	29131	20.0%
R	29131	20.0%
-	29131	20.0%
5	8461	5.8%
7	7872	5.4%
3	6067	4.2%
6	5990	4.1%
9	5518	3.8%
1	5494	3.8%
2	5442	3.7%
Other values (3)	13418	9.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	145655	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
F	29131	20.0%
R	29131	20.0%
-	29131	20.0%
5	8461	5.8%
7	7872	5.4%
3	6067	4.2%
6	5990	4.1%
9	5518	3.8%
1	5494	3.8%
2	5442	3.7%
Other values (3)	13418	9.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	145655	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
F	29131	20.0%
R	29131	20.0%
-	29131	20.0%
5	8461	5.8%
7	7872	5.4%
3	6067	4.2%
6	5990	4.1%
9	5518	3.8%
1	5494	3.8%
2	5442	3.7%
Other values (3)	13418	9.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	145655	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
F	29131	20.0%
R	29131	20.0%
-	29131	20.0%
5	8461	5.8%
7	7872	5.4%
3	6067	4.2%
6	5990	4.1%
9	5518	3.8%
1	5494	3.8%
2	5442	3.7%
Other values (3)	13418	9.2%

db_pays
Text

Distinct	82
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	270.5 KiB

Length

Max length	27
Median length	6
Mean length	6.2376384
Min length	4

Characters and Unicode

Total characters	215841
Distinct characters	32
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	22 ?
Unique (%)	0.1%

Sample

1st row	FRANCE
2nd row	FRANCE
3rd row	FRANCE
4th row	FRANCE
5th row	FRANCE

Value	Count	Frequency (%)
france	29263	83.9%
pologne	2057	5.9%
allemagne	529	1.5%
algerie	406	1.2%
russie	324	0.9%
la	232	0.7%
réunion	232	0.7%
roumanie	219	0.6%
turquie	152	0.4%
guadeloupe	148	0.4%
Other values (84)	1316	3.8%

Most occurring characters

Value	Count	Frequency (%)
E	35659	16.5%
N	33046	15.3%
A	32196	14.9%
R	31172	14.4%
C	29604	13.7%
F	29276	13.6%
O	5071	2.3%
L	4246	2.0%
G	3603	1.7%
I	2461	1.1%
Other values (22)	9507	4.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	215841	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	35659	16.5%
N	33046	15.3%
A	32196	14.9%
R	31172	14.4%
C	29604	13.7%
F	29276	13.6%
O	5071	2.3%
L	4246	2.0%
G	3603	1.7%
I	2461	1.1%
Other values (22)	9507	4.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	215841	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	35659	16.5%
N	33046	15.3%
A	32196	14.9%
R	31172	14.4%
C	29604	13.7%
F	29276	13.6%
O	5071	2.3%
L	4246	2.0%
G	3603	1.7%
I	2461	1.1%
Other values (22)	9507	4.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	215841	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	35659	16.5%
N	33046	15.3%
A	32196	14.9%
R	31172	14.4%
C	29604	13.7%
F	29276	13.6%
O	5071	2.3%
L	4246	2.0%
G	3603	1.7%
I	2461	1.1%
Other values (22)	9507	4.4%

db_continent
Categorical

Imbalance

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	270.5 KiB

EUROPE	33840
AFRIQUE	521
ASIE	202
AMERIQUE	38
OCEANIE	2

Length

Max length	8
Median length	6
Mean length	6.0056353
Min length	4

Characters and Unicode

Total characters	207813
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	EUROPE
2nd row	EUROPE
3rd row	EUROPE
4th row	EUROPE
5th row	EUROPE

Common Values

Value	Count	Frequency (%)
EUROPE	33840	97.8%
AFRIQUE	521	1.5%
ASIE	202	0.6%
AMERIQUE	38	0.1%
OCEANIE	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
europe	33840	97.8%
afrique	521	1.5%
asie	202	0.6%
amerique	38	0.1%
oceanie	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
E	68483	33.0%
U	34399	16.6%
R	34399	16.6%
O	33842	16.3%
P	33840	16.3%
A	763	0.4%
I	763	0.4%
Q	559	0.3%
F	521	0.3%
S	202	0.1%
Other values (3)	42	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	207813	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	68483	33.0%
U	34399	16.6%
R	34399	16.6%
O	33842	16.3%
P	33840	16.3%
A	763	0.4%
I	763	0.4%
Q	559	0.3%
F	521	0.3%
S	202	0.1%
Other values (3)	42	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	207813	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	68483	33.0%
U	34399	16.6%
R	34399	16.6%
O	33842	16.3%
P	33840	16.3%
A	763	0.4%
I	763	0.4%
Q	559	0.3%
F	521	0.3%
S	202	0.1%
Other values (3)	42	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	207813	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	68483	33.0%
U	34399	16.6%
R	34399	16.6%
O	33842	16.3%
P	33840	16.3%
A	763	0.4%
I	763	0.4%
Q	559	0.3%
F	521	0.3%
S	202	0.1%
Other values (3)	42	< 0.1%

dd_date
Date

Distinct	3339
Distinct (%)	9.6%
Missing	0
Missing (%)	0.0%
Memory size	270.5 KiB

Minimum	1882-10-01 00:00:00
Maximum	1970-12-30 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

dd_lib_jour
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	270.5 KiB

Samedi	5297
Lundi	5210
Mercredi	5152
Dimanche	4995
Mardi	4807
Other values (2)	9142

Length

Max length	8
Median length	6
Mean length	6.4245875
Min length	5

Characters and Unicode

Total characters	222310
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Mardi
2nd row	Samedi
3rd row	Vendredi
4th row	Samedi
5th row	Lundi

Common Values

Value	Count	Frequency (%)
Samedi	5297	15.3%
Lundi	5210	15.1%
Mercredi	5152	14.9%
Dimanche	4995	14.4%
Mardi	4807	13.9%
Jeudi	4623	13.4%
Vendredi	4519	13.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
samedi	5297	15.3%
lundi	5210	15.1%
mercredi	5152	14.9%
dimanche	4995	14.4%
mardi	4807	13.9%
jeudi	4623	13.4%
vendredi	4519	13.1%

Most occurring characters

Value	Count	Frequency (%)
i	34603	15.6%
e	34257	15.4%
d	34127	15.4%
r	19630	8.8%
a	15099	6.8%
n	14724	6.6%
m	10292	4.6%
c	10147	4.6%
M	9959	4.5%
u	9833	4.4%
Other values (6)	29639	13.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	222310	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	34603	15.6%
e	34257	15.4%
d	34127	15.4%
r	19630	8.8%
a	15099	6.8%
n	14724	6.6%
m	10292	4.6%
c	10147	4.6%
M	9959	4.5%
u	9833	4.4%
Other values (6)	29639	13.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	222310	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	34603	15.6%
e	34257	15.4%
d	34127	15.4%
r	19630	8.8%
a	15099	6.8%
n	14724	6.6%
m	10292	4.6%
c	10147	4.6%
M	9959	4.5%
u	9833	4.4%
Other values (6)	29639	13.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	222310	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	34603	15.6%
e	34257	15.4%
d	34127	15.4%
r	19630	8.8%
a	15099	6.8%
n	14724	6.6%
m	10292	4.6%
c	10147	4.6%
M	9959	4.5%
u	9833	4.4%
Other values (6)	29639	13.3%

dd_week
Real number (ℝ)

Distinct	53
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.632055

Minimum	1
Maximum	53
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	270.5 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	14
median	29
Q3	40
95-th percentile	51
Maximum	53
Range	52
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	15.043129
Coefficient of variation (CV)	0.54440864
Kurtosis	-1.1771503
Mean	27.632055
Median Absolute Deviation (MAD)	13
Skewness	-0.082183525
Sum	956152
Variance	226.29574
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
32	1065	3.1%
31	979	2.8%
33	894	2.6%
35	798	2.3%
46	774	2.2%
40	743	2.1%
52	737	2.1%
49	728	2.1%
30	726	2.1%
6	722	2.1%
Other values (43)	26437	76.4%

Value	Count	Frequency (%)
1	428	1.2%
2	619	1.8%
3	582	1.7%
4	659	1.9%
5	600	1.7%
6	722	2.1%
7	708	2.0%
8	564	1.6%
9	620	1.8%
10	713	2.1%

Value	Count	Frequency (%)
53	395	1.1%
52	737	2.1%
51	712	2.1%
50	659	1.9%
49	728	2.1%
48	590	1.7%
47	680	2.0%
46	774	2.2%
45	632	1.8%
44	720	2.1%

dd_code_commune
Text

Distinct	7462
Distinct (%)	21.6%
Missing	0
Missing (%)	0.0%
Memory size	270.5 KiB

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	173015
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4938 ?
Unique (%)	14.3%

Sample

1st row	75114
2nd row	89387
3rd row	77243
4th row	77055
5th row	77305

Value	Count	Frequency (%)
99122	3597	10.5%
13055	677	2.0%
59350	617	1.8%
54395	480	1.4%
33063	454	1.3%
75114	453	1.3%
44109	380	1.1%
69383	342	1.0%
31555	318	0.9%
75115	299	0.9%
Other values (7451)	26549	77.7%

Most occurring characters

Value	Count	Frequency (%)
1	25815	14.9%
2	22402	12.9%
9	21596	12.5%
0	18384	10.6%
5	17608	10.2%
3	17245	10.0%
4	13638	7.9%
6	11863	6.9%
7	11773	6.8%
8	10502	6.1%
Other values (3)	2189	1.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	173015	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	25815	14.9%
2	22402	12.9%
9	21596	12.5%
0	18384	10.6%
5	17608	10.2%
3	17245	10.0%
4	13638	7.9%
6	11863	6.9%
7	11773	6.8%
8	10502	6.1%
Other values (3)	2189	1.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	173015	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	25815	14.9%
2	22402	12.9%
9	21596	12.5%
0	18384	10.6%
5	17608	10.2%
3	17245	10.0%
4	13638	7.9%
6	11863	6.9%
7	11773	6.8%
8	10502	6.1%
Other values (3)	2189	1.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	173015	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	25815	14.9%
2	22402	12.9%
9	21596	12.5%
0	18384	10.6%
5	17608	10.2%
3	17245	10.0%
4	13638	7.9%
6	11863	6.9%
7	11773	6.8%
8	10502	6.1%
Other values (3)	2189	1.3%

dd_lib_commune
Text

Missing

Distinct	7133
Distinct (%)	21.0%
Missing	691
Missing (%)	2.0%
Memory size	270.5 KiB

Length

Max length	43
Median length	34
Mean length	10.505957
Min length	2

Characters and Unicode

Total characters	356278
Distinct characters	71
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4601 ?
Unique (%)	13.6%

Sample

1st row	PARIS-14E-ARRONDISSEMENT
2nd row	SENS
3rd row	LAGNY-SUR-MARNE
4th row	BROU-SUR-CHANTEREINE
5th row	MONTEREAU-FAULT-YONNE

Value	Count	Frequency (%)
varsovie	3597	10.1%
le	783	2.2%
marseille	688	1.9%
la	678	1.9%
lille	617	1.7%
nancy	480	1.3%
bordeaux	454	1.3%
paris-14e-arrondissement	453	1.3%
nantes	380	1.1%
lyon--3e--arrondissement	342	1.0%
Other values (7122)	27134	76.2%

Most occurring characters

Value	Count	Frequency (%)
E	45929	12.9%
A	31041	8.7%
R	30213	8.5%
S	29134	8.2%
N	28931	8.1%
I	25491	7.2%
O	21769	6.1%
L	21047	5.9%
-	18675	5.2%
T	14165	4.0%
Other values (61)	89883	25.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	356278	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	45929	12.9%
A	31041	8.7%
R	30213	8.5%
S	29134	8.2%
N	28931	8.1%
I	25491	7.2%
O	21769	6.1%
L	21047	5.9%
-	18675	5.2%
T	14165	4.0%
Other values (61)	89883	25.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	356278	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	45929	12.9%
A	31041	8.7%
R	30213	8.5%
S	29134	8.2%
N	28931	8.1%
I	25491	7.2%
O	21769	6.1%
L	21047	5.9%
-	18675	5.2%
T	14165	4.0%
Other values (61)	89883	25.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	356278	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	45929	12.9%
A	31041	8.7%
R	30213	8.5%
S	29134	8.2%
N	28931	8.1%
I	25491	7.2%
O	21769	6.1%
L	21047	5.9%
-	18675	5.2%
T	14165	4.0%
Other values (61)	89883	25.2%

dd_code_dpt
Text

Distinct	102
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	270.5 KiB

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	69206
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	75
2nd row	89
3rd row	77
4th row	77
5th row	77

Value	Count	Frequency (%)
99	5134	15.0%
75	1790	5.2%
59	1689	4.9%
69	1028	3.0%
13	1019	3.0%
62	758	2.2%
33	722	2.1%
44	690	2.0%
54	676	2.0%
76	615	1.8%
Other values (91)	20045	58.7%

Most occurring characters

Value	Count	Frequency (%)
9	16804	24.3%
5	7923	11.4%
7	7455	10.8%
3	6794	9.8%
6	5987	8.7%
4	5838	8.4%
1	5307	7.7%
2	4906	7.1%
8	4169	6.0%
0	3145	4.5%
Other values (3)	878	1.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	69206	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
9	16804	24.3%
5	7923	11.4%
7	7455	10.8%
3	6794	9.8%
6	5987	8.7%
4	5838	8.4%
1	5307	7.7%
2	4906	7.1%
8	4169	6.0%
0	3145	4.5%
Other values (3)	878	1.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	69206	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
9	16804	24.3%
5	7923	11.4%
7	7455	10.8%
3	6794	9.8%
6	5987	8.7%
4	5838	8.4%
1	5307	7.7%
2	4906	7.1%
8	4169	6.0%
0	3145	4.5%
Other values (3)	878	1.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	69206	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
9	16804	24.3%
5	7923	11.4%
7	7455	10.8%
3	6794	9.8%
6	5987	8.7%
4	5838	8.4%
1	5307	7.7%
2	4906	7.1%
8	4169	6.0%
0	3145	4.5%
Other values (3)	878	1.3%

dd_dept_isocode_3166
Text

Missing

Distinct	96
Distinct (%)	0.3%
Missing	6334
Missing (%)	18.3%
Memory size	270.5 KiB

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	141345
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	FR-75
2nd row	FR-89
3rd row	FR-77
4th row	FR-77
5th row	FR-77

Value	Count	Frequency (%)
fr-75	1790	6.3%
fr-59	1689	6.0%
fr-69	1028	3.6%
fr-13	1019	3.6%
fr-62	758	2.7%
fr-33	722	2.6%
fr-44	690	2.4%
fr-54	676	2.4%
fr-76	615	2.2%
fr-57	536	1.9%
Other values (86)	18746	66.3%

Most occurring characters

Value	Count	Frequency (%)
F	28269	20.0%
R	28269	20.0%
-	28269	20.0%
5	7923	5.6%
7	6845	4.8%
3	6794	4.8%
6	5987	4.2%
9	5904	4.2%
4	5838	4.1%
1	5307	3.8%
Other values (5)	11940	8.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	141345	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
F	28269	20.0%
R	28269	20.0%
-	28269	20.0%
5	7923	5.6%
7	6845	4.8%
3	6794	4.8%
6	5987	4.2%
9	5904	4.2%
4	5838	4.1%
1	5307	3.8%
Other values (5)	11940	8.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	141345	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
F	28269	20.0%
R	28269	20.0%
-	28269	20.0%
5	7923	5.6%
7	6845	4.8%
3	6794	4.8%
6	5987	4.2%
9	5904	4.2%
4	5838	4.1%
1	5307	3.8%
Other values (5)	11940	8.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	141345	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
F	28269	20.0%
R	28269	20.0%
-	28269	20.0%
5	7923	5.6%
7	6845	4.8%
3	6794	4.8%
6	5987	4.2%
9	5904	4.2%
4	5838	4.1%
1	5307	3.8%
Other values (5)	11940	8.4%

dd_pays
Text

Distinct	83
Distinct (%)	0.2%
Missing	1
Missing (%)	< 0.1%
Memory size	270.5 KiB

Length

Max length	33
Median length	6
Mean length	6.1927634
Min length	4

Characters and Unicode

Total characters	214282
Distinct characters	31
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	20 ?
Unique (%)	0.1%

Sample

1st row	FRANCE
2nd row	FRANCE
3rd row	FRANCE
4th row	FRANCE
5th row	FRANCE

Value	Count	Frequency (%)
france	29469	84.9%
pologne	3597	10.4%
allemagne	279	0.8%
algerie	229	0.7%
belgique	109	0.3%
suisse	103	0.3%
espagne	77	0.2%
autriche	65	0.2%
maroc	51	0.1%
italie	49	0.1%
Other values (83)	675	1.9%

Most occurring characters

Value	Count	Frequency (%)
E	35284	16.5%
N	33819	15.8%
A	31097	14.5%
R	30097	14.0%
C	29768	13.9%
F	29492	13.8%
O	7485	3.5%
L	4800	2.2%
G	4413	2.1%
P	3718	1.7%
Other values (21)	4309	2.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	214282	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	35284	16.5%
N	33819	15.8%
A	31097	14.5%
R	30097	14.0%
C	29768	13.9%
F	29492	13.8%
O	7485	3.5%
L	4800	2.2%
G	4413	2.1%
P	3718	1.7%
Other values (21)	4309	2.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	214282	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	35284	16.5%
N	33819	15.8%
A	31097	14.5%
R	30097	14.0%
C	29768	13.9%
F	29492	13.8%
O	7485	3.5%
L	4800	2.2%
G	4413	2.1%
P	3718	1.7%
Other values (21)	4309	2.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	214282	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	35284	16.5%
N	33819	15.8%
A	31097	14.5%
R	30097	14.0%
C	29768	13.9%
F	29492	13.8%
O	7485	3.5%
L	4800	2.2%
G	4413	2.1%
P	3718	1.7%
Other values (21)	4309	2.0%

dd_continent
Categorical

Imbalance

Distinct	5
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	270.5 KiB

EUROPE	33948
AFRIQUE	417
AMERIQUE	139
ASIE	86
OCEANIE	12

Length

Max length	8
Median length	6
Mean length	6.0154615
Min length	4

Characters and Unicode

Total characters	208147
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	EUROPE
2nd row	EUROPE
3rd row	EUROPE
4th row	EUROPE
5th row	EUROPE

Common Values

Value	Count	Frequency (%)
EUROPE	33948	98.1%
AFRIQUE	417	1.2%
AMERIQUE	139	0.4%
ASIE	86	0.2%
OCEANIE	12	< 0.1%
(Missing)	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
europe	33948	98.1%
afrique	417	1.2%
amerique	139	0.4%
asie	86	0.2%
oceanie	12	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
E	68701	33.0%
U	34504	16.6%
R	34504	16.6%
O	33960	16.3%
P	33948	16.3%
A	654	0.3%
I	654	0.3%
Q	556	0.3%
F	417	0.2%
M	139	0.1%
Other values (3)	110	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	208147	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	68701	33.0%
U	34504	16.6%
R	34504	16.6%
O	33960	16.3%
P	33948	16.3%
A	654	0.3%
I	654	0.3%
Q	556	0.3%
F	417	0.2%
M	139	0.1%
Other values (3)	110	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	208147	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	68701	33.0%
U	34504	16.6%
R	34504	16.6%
O	33960	16.3%
P	33948	16.3%
A	654	0.3%
I	654	0.3%
Q	556	0.3%
F	417	0.2%
M	139	0.1%
Other values (3)	110	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	208147	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	68701	33.0%
U	34504	16.6%
R	34504	16.6%
O	33960	16.3%
P	33948	16.3%
A	654	0.3%
I	654	0.3%
Q	556	0.3%
F	417	0.2%
M	139	0.1%
Other values (3)	110	0.1%

iso_date
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	270.5 KiB

0	33235
1	1368

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	34603
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	33235	96.0%
1	1368	4.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	33235	96.0%
1	1368	4.0%

Most occurring characters

Value	Count	Frequency (%)
0	33235	96.0%
1	1368	4.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	34603	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	33235	96.0%
1	1368	4.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	34603	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	33235	96.0%
1	1368	4.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	34603	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	33235	96.0%
1	1368	4.0%

iso_dpt
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	270.5 KiB

1	24315
0	10288

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	34603
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	24315	70.3%
0	10288	29.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	24315	70.3%
0	10288	29.7%

Most occurring characters

Value	Count	Frequency (%)
1	24315	70.3%
0	10288	29.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	34603	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	24315	70.3%
0	10288	29.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	34603	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	24315	70.3%
0	10288	29.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	34603	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	24315	70.3%
0	10288	29.7%

iso_commune
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	270.5 KiB

0	22658
1	11945

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	34603
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	22658	65.5%
1	11945	34.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	22658	65.5%
1	11945	34.5%

Most occurring characters

Value	Count	Frequency (%)
0	22658	65.5%
1	11945	34.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	34603	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	22658	65.5%
1	11945	34.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	34603	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	22658	65.5%
1	11945	34.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	34603	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	22658	65.5%
1	11945	34.5%

iso_pays
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	270.5 KiB

1	30527
0	4076

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	34603
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	30527	88.2%
0	4076	11.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	30527	88.2%
0	4076	11.8%

Most occurring characters

Value	Count	Frequency (%)
1	30527	88.2%
0	4076	11.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	34603	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	30527	88.2%
0	4076	11.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	34603	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	30527	88.2%
0	4076	11.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	34603	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	30527	88.2%
0	4076	11.8%

distance
Real number (ℝ)

Zeros

Distinct	1452
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4206636.6

Minimum	0
Maximum	1.2345679 × 10⁸
Zeros	12051
Zeros (%)	34.8%
Negative	0
Negative (%)	0.0%
Memory size	270.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	11
Q3	94.5
95-th percentile	1764.1
Maximum	1.2345679 × 10⁸
Range	1.2345679 × 10⁸
Interquartile range (IQR)	94.5

Descriptive statistics

Standard deviation	22397158
Coefficient of variation (CV)	5.3242436
Kurtosis	24.38842
Mean	4206636.6
Median Absolute Deviation (MAD)	11
Skewness	5.1368288
Sum	1.4556225 × 10¹¹
Variance	5.0163269 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	12051	34.8%
123456790	1179	3.4%
3	732	2.1%
4	732	2.1%
5	657	1.9%
6	653	1.9%
7	645	1.9%
519	476	1.4%
8	466	1.3%
9	449	1.3%
Other values (1442)	16563	47.9%

Value	Count	Frequency (%)
0	12051	34.8%
1	16	< 0.1%
2	253	0.7%
3	732	2.1%
4	732	2.1%
5	657	1.9%
6	653	1.9%
7	645	1.9%
8	466	1.3%
9	449	1.3%

Value	Count	Frequency (%)
123456790	1179	3.4%
19264	1	< 0.1%
18817	1	< 0.1%
17169	2	< 0.1%
17168	1	< 0.1%
17002	1	< 0.1%
16912	1	< 0.1%
16592	1	< 0.1%
15807	1	< 0.1%
15692	1	< 0.1%

Interactions

Correlations

	age	db_code_commune	db_code_dpt	db_continent	db_lib_jour	db_week	dd_continent	dd_lib_jour	dd_week	distance	iso_commune	iso_date	iso_dpt	iso_pays	long_nom	nbre_prenoms	sexe
age	1.000	0.147	0.149	0.083	0.013	0.001	0.059	0.047	0.196	0.324	0.180	0.192	0.239	0.429	0.033	-0.100	0.126
db_code_commune	0.147	1.000	0.999	0.164	0.000	-0.014	0.067	0.046	-0.052	0.061	0.143	0.056	0.210	0.574	0.053	-0.215	0.053
db_code_dpt	0.149	0.999	1.000	0.164	0.000	-0.013	0.067	0.046	-0.051	0.062	0.143	0.056	0.210	0.574	0.053	-0.216	0.053
db_continent	0.083	0.164	0.164	1.000	0.009	0.017	0.386	0.015	0.014	0.103	0.045	0.008	0.032	0.252	0.000	0.068	0.027
db_lib_jour	0.013	0.000	0.000	0.009	1.000	0.015	0.000	0.047	0.007	0.004	0.015	0.018	0.009	0.000	0.000	0.003	0.000
db_week	0.001	-0.014	-0.013	0.017	0.015	1.000	0.006	0.007	0.199	-0.006	0.018	0.009	0.017	0.023	0.005	-0.009	0.022
dd_continent	0.059	0.067	0.067	0.386	0.000	0.006	1.000	0.000	0.009	0.013	0.047	0.000	0.074	0.207	0.011	0.023	0.020
dd_lib_jour	0.047	0.046	0.046	0.015	0.047	0.007	0.000	1.000	0.051	0.016	0.037	0.027	0.033	0.061	0.007	0.028	0.024
dd_week	0.196	-0.052	-0.051	0.014	0.007	0.199	0.009	0.051	1.000	0.061	0.061	0.035	0.058	0.083	0.004	-0.034	0.021
distance	0.324	0.061	0.062	0.103	0.004	-0.006	0.013	0.016	0.061	1.000	0.136	0.009	0.208	0.222	-0.006	-0.015	0.009
iso_commune	0.180	0.143	0.143	0.045	0.015	0.018	0.047	0.037	0.061	0.136	1.000	0.062	0.472	0.213	0.025	0.064	0.031
iso_date	0.192	0.056	0.056	0.008	0.018	0.009	0.000	0.027	0.035	0.009	0.062	1.000	0.061	0.030	0.008	0.062	0.010
iso_dpt	0.239	0.210	0.210	0.032	0.009	0.017	0.074	0.033	0.058	0.208	0.472	0.061	1.000	0.101	0.038	0.094	0.024
iso_pays	0.429	0.574	0.574	0.252	0.000	0.023	0.207	0.061	0.083	0.222	0.213	0.030	0.101	1.000	0.106	0.226	0.000
long_nom	0.033	0.053	0.053	0.000	0.000	0.005	0.011	0.007	0.004	-0.006	0.025	0.008	0.038	0.106	1.000	-0.055	0.000
nbre_prenoms	-0.100	-0.215	-0.216	0.068	0.003	-0.009	0.023	0.028	-0.034	-0.015	0.064	0.062	0.094	0.226	-0.055	1.000	0.061
sexe	0.126	0.053	0.053	0.027	0.000	0.022	0.020	0.024	0.021	0.009	0.031	0.010	0.024	0.000	0.000	0.061	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	nom	prenom	sexe	age	long_nom	nbre_prenoms	db_date	db_lib_jour	db_week	db_code_commune	db_lib_commune	db_code_dpt	db_dept_isocode_3166	db_pays	db_continent	dd_date	dd_lib_jour	dd_week	dd_code_commune	dd_lib_commune	dd_code_dpt	dd_dept_isocode_3166	dd_pays	dd_continent	iso_date	iso_dpt	iso_commune	iso_pays	distance
0	LETERME	PATRICE,EUGENE,OMER	M	17	7	3	1953-04-20	Lundi	17	77043	BOITRON	77	FR-77	FRANCE	EUROPE	1970-12-01	Mardi	49	75114	PARIS-14E-ARRONDISSEMENT	75	FR-75	FRANCE	EUROPE	0	0	0	1	6.900000e+01
1	DEROUT	JEAN,DANIEL	M	23	6	2	1947-06-22	Dimanche	25	77053	BRIE-COMTE-ROBERT	77	FR-77	FRANCE	EUROPE	1970-09-05	Samedi	36	89387	SENS	89	FR-89	FRANCE	EUROPE	0	0	0	1	7.500000e+01
2	GRAS Y PLASSARD	BORIS,GUY	M	1	15	2	1969-06-03	Mardi	23	77055	BROU-SUR-CHANTEREINE	77	FR-77	FRANCE	EUROPE	1970-11-06	Vendredi	45	77243	LAGNY-SUR-MARNE	77	FR-77	FRANCE	EUROPE	0	1	0	1	5.000000e+00
3	LENOIR	VALERIE,PAULE	F	0	6	2	1970-03-14	Samedi	11	77055	BROU-SUR-CHANTEREINE	77	FR-77	FRANCE	EUROPE	1970-03-14	Samedi	11	77055	BROU-SUR-CHANTEREINE	77	FR-77	FRANCE	EUROPE	1	1	1	1	0.000000e+00
4	LESZCZUK	MARIE-AGNES	F	0	8	1	1969-11-01	Samedi	44	77066	CERNEUX	77	FR-77	FRANCE	EUROPE	1970-01-19	Lundi	4	77305	MONTEREAU-FAULT-YONNE	77	FR-77	FRANCE	EUROPE	0	1	0	1	4.500000e+01
5	BOSCHETTI	CHANTAL,MARGUERITE,MADELEINE	F	20	9	3	1950-10-10	Mardi	41	77071	CHAINTREAUX	77	FR-77	FRANCE	EUROPE	1970-11-12	Jeudi	46	77387	REMAUVILLE	77	FR-77	FRANCE	EUROPE	0	1	0	1	3.000000e+00
6	LE CHARPENTIER	JEAN-LUC,GEORGES	M	15	14	2	1955-03-18	Vendredi	11	77082	CHAMPEAUX	77	FR-77	FRANCE	EUROPE	1970-07-30	Jeudi	31	77288	MELUN	77	FR-77	FRANCE	EUROPE	0	1	0	1	1.200000e+01
7	DEMELLIER	FRANCIS,MICHEL	M	20	9	2	1950-02-05	Dimanche	5	77083	CHAMPS-SUR-MARNE	77	FR-77	FRANCE	EUROPE	1970-08-17	Lundi	34	99109	BERLIN	99	NaN	ALLEMAGNE	EUROPE	0	0	0	0	8.650000e+02
8	CADELLE	RENE,EDMOND,ALFRED	M	24	7	3	1946-06-21	Vendredi	25	77092	LA CHAPELLE-SUR-CRECY	77	FR-77	FRANCE	EUROPE	1970-12-16	Mercredi	51	77288	MELUN	77	FR-77	FRANCE	EUROPE	0	1	0	1	1.234568e+08
9	CHOPINET	BERNARD,DENIS	M	19	8	2	1950-10-03	Mardi	40	77099	CHATEAU-LANDON	77	FR-77	FRANCE	EUROPE	1970-03-01	Dimanche	9	45252	PITHIVIERS	45	FR-45	FRANCE	EUROPE	0	0	0	1	3.400000e+01

	nom	prenom	sexe	age	long_nom	nbre_prenoms	db_date	db_lib_jour	db_week	db_code_commune	db_lib_commune	db_code_dpt	db_dept_isocode_3166	db_pays	db_continent	dd_date	dd_lib_jour	dd_week	dd_code_commune	dd_lib_commune	dd_code_dpt	dd_dept_isocode_3166	dd_pays	dd_continent	iso_dpt	iso_commune	iso_pays	distance
34593	COUSIN DE MAUVAISIN	MIREILLE,PAULE	F	19	19	2	1950-05-29	Lundi	22	13055	MARSEILLE	13	FR-13	FRANCE	EUROPE	1970-02-05	Jeudi	6	13001	AIX-EN-PROVENCE	13	FR-13	FRANCE	EUROPE	1	0	1	26.0
34594	GUERRI	GENEVIEVE,MARCELLE,FERNANDE,PHILOMENE	F	20	6	4	1950-05-08	Lundi	19	13055	MARSEILLE	13	FR-13	FRANCE	EUROPE	1970-07-26	Dimanche	30	69238	SAINT-SYMPHORIEN-SUR-COISE	69	FR-69	FRANCE	EUROPE	0	0	1	269.0
34595	LEBARBENCHON	MONIQUE,CHANTAL,GENEVIEVE	F	19	12	3	1950-05-06	Samedi	18	13055	MARSEILLE	13	FR-13	FRANCE	EUROPE	1970-03-05	Jeudi	10	13055	MARSEILLE	13	FR-13	FRANCE	EUROPE	1	1	1	0.0
34596	BAUDRY	ERIC,JEAN-MARIE	M	20	6	2	1950-07-21	Vendredi	29	13055	MARSEILLE	13	FR-13	FRANCE	EUROPE	1970-12-13	Dimanche	50	13055	MARSEILLE	13	FR-13	FRANCE	EUROPE	1	1	1	0.0
34597	DE PASSORIO PEYSSARD	MICHEL,HENRI,MARCEL	M	20	20	3	1950-07-16	Dimanche	28	13055	MARSEILLE	13	FR-13	FRANCE	EUROPE	1970-10-09	Vendredi	41	13055	MARSEILLE	13	FR-13	FRANCE	EUROPE	1	1	1	0.0
34598	ALBERTINI	JACQUES,JOSEPH	M	19	9	2	1950-10-08	Dimanche	40	13055	MARSEILLE	13	FR-13	FRANCE	EUROPE	1970-05-15	Vendredi	20	13055	MARSEILLE	13	FR-13	FRANCE	EUROPE	1	1	1	0.0
34599	DI MARIA	ALAIN,LEON	M	19	8	2	1950-11-21	Mardi	47	13055	MARSEILLE	13	FR-13	FRANCE	EUROPE	1970-09-14	Lundi	38	13055	MARSEILLE	13	FR-13	FRANCE	EUROPE	1	1	1	0.0
34600	BREUZA	ROBERT,ROGER	M	19	6	2	1950-12-15	Vendredi	50	13055	MARSEILLE	13	FR-13	FRANCE	EUROPE	1970-02-19	Jeudi	8	13055	MARSEILLE	13	FR-13	FRANCE	EUROPE	1	1	1	0.0
34601	BERNARD	JEAN-PAUL,LOUIS,GILBERT	M	19	7	3	1951-02-27	Mardi	9	13055	MARSEILLE	13	FR-13	FRANCE	EUROPE	1970-11-07	Samedi	45	13055	MARSEILLE	13	FR-13	FRANCE	EUROPE	1	1	1	0.0
34602	BRUNET	JEAN,PAUL,MARIUS	M	18	6	3	1951-02-28	Mercredi	9	13055	MARSEILLE	13	FR-13	FRANCE	EUROPE	1970-01-16	Vendredi	3	13055	MARSEILLE	13	FR-13	FRANCE	EUROPE	1	1	1	0.0

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length